Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis::Google says it’s aware of historically inaccurate results for its Gemini AI image generator, following criticism that it depicted historically white groups as people of color.
It’s really a failure of one-size-fits-all AI. There are plenty of non-diverse models out there, but Google has to find a single solution that always returns diverse college students, but never diverse Nazis.
If I were to use A1111 to make brown Nazis, it would be my own fault. If I use Google, it’s rightfully theirs.
The solution is going to take time. Software is made more robust by finding and fixing edge cases. There’s a lot of work to be done to find and fix these issues in AI, and it’s impossible to fix them all, but it can be made better. The end result will probably be a patchwork solution.
The issue seems to be the underlying code tells the ai if some data set has too many white people or men, Nazis, ancient Vikings, Popes, Rockwell paintings, etc then make them diverse races and genders.
What do we want from these AIs? Facts, even if they might be offensive? Or facts as we wish they would be for a nicer world?